Recall measures what AI answer engines say about a company. It runs real buyer questions through configured engines on a schedule, records who is recommended and which sources are cited, keeps the stored answer behind every figure, and turns what it finds into changes a team can ship and then measure. Where buyers shortlist with AI, that means share of answers. Where they do not, it means what the engines assert about you and how much of it has no source.

What is Answer Engine Optimization (AEO)?

Answer Engine Optimization (AEO) — also called Generative Engine Optimization (GEO) — is the practice of measuring and improving whether AI answer engines accurately recommend and cite your brand. Instead of ranking in a list of links, the goal is to earn a credible place in the answer and the shortlist.

Recall is strongest where a buyer has nobody to ask. Referral beats search whenever someone can call a friend who has already made this choice, so AI research dominates for people new to a place, doing something for the first time, buying across a border, or working in a field that moves faster than anyone's experience of it. That covers venture funds and their portfolios, AI infrastructure, Web3, coworking, private schools and kindergartens. Procurement-led sectors such as defence and aerospace are served differently: nobody shortlists a supplier from an AI answer there, so the measurement is accuracy rather than position.

Which AI models does Recall track?

Recall supports configurable coverage for engines including ChatGPT, Google AI Overviews and AI Mode, Perplexity, Gemini, Claude, Copilot, Grok, Mistral, and DeepSeek. The engines available in a deployment depend on the providers and credentials you configure.

How is Recall delivered?

As a managed platform that we run. Each brand's data is isolated at the database level, every answer and citation exports in full whenever you ask, and the model coverage, spend limits, access controls, and operating support are agreed as part of the pilot. There is no self-hosted edition today.

Is Recall an SEO or content agency?

No. Recall is the measurement and decision layer: it shows who AI recommends, preserves the evidence, and ranks defensible actions. Your team or delivery partner can implement those actions, and Recall measures whether the answers changed afterward.

v0.2.17Evidence-backed · auditable · multi-engine

When your buyer asks AI, do you make the shortlist?

Recall shows funds, their portfolio companies, and high-consideration organizations who AI recommends, why, and which public evidence can change the answer. Where buyers do not shortlist with AI, it measures what the engines assert about you instead — and how much of it has no source. Inspect every claim, ship the fix, and measure what changed.

ShortlistVenture fundsAI infrastructureWeb3Private educationCoworkingBaby & parenting gear
AccuracyRoboticsBiotechDefenceAerospaceClimate techIndustrial tech

See how Recall works Scope a pilot

/ WHO IT IS FOR

One engine. Two questions worth asking.

Are you in the shortlist, and is what the engines say about you true? The first matters when your buyers have nobody to ask — referral beats search right up until there is no one to call. The second matters when they never ask AI at all, and journalists, investors and candidates do it for them.

Venture funds and portfolios

Measure the fund's own founder-facing visibility, then give portfolio teams the same evidence-backed operating loop.

One relationship can improve an entire portfolio.

Explore the playbook

Technical categories

Developers and platform teams genuinely shortlist this way. We measured it: every probe in AI infrastructure returned a usable answer.

Named in the comparison, or not.

Explore the playbook

First-timers and newcomers

A family choosing a school, someone who just moved cities, parents buying gear they have never owned. Nobody to ask, so the whole search happens in the open.

Win the questions asked before a tour, call, or purchase.

Explore the playbook

Procurement-led and regulated

Your buyers use vendor lists, not prompts. Journalists, investors and engineers ask anyway — and an engine with thin evidence answers from memory rather than declining.

What was said, by which engine, sourced or not.

Explore the playbook

/ MODEL COVERAGE

Track the engines that shape shortlists.

Capture web-connected answers through supported providers, or bring direct API and OpenRouter keys. Every run keeps its model, provider, locale, outcome, answer, queries, and citations attached.

ChatGPT
Claude
Gemini
Grok
Mistral
Perplexity
Copilot
DeepSeek
Google AI Mode
Google AI Overviews

coverage depends on the providers you configure

/ FEATURES

From a vague AI mention to a measurable business signal.

01/SHARE OF VOICE

See how you stack up against the competition.

Compare your brand's mention share against every competitor. A live leaderboard ranks who AI engines name most — so you can see who dominates and where the gaps are.

02/EVIDENCE

Every number opens onto the answer behind it.

See which domains and URLs the engines cite, which are gaining and dropping, and the exact response each figure came from. Cited pages are captured when they are cited, so a source that is later rewritten or deleted is reported as changed or gone rather than quietly ceasing to support the claim.

03/DIAGNOSIS

Know why you are missing, not just that you are.

One absence has four causes and four different fixes: the engines cannot reach you, the sources they read never mention you, they cannot tell who you are, or they reach you and leave you off the list anyway. Recall reads the stored evidence for each tracked question and matches the action to the cause — so a brand whose own site is fine is sent to earn mentions rather than to rewrite a homepage that was never the problem.

Opportunities page with an AI-generated summary and prioritized recommendations for content to create and sources to pitch

04/PROOF

Prove whether the work changed the answer.

Mark an implementation shipped, lock its baseline, and compare matching prompts, models, locales, and scoring versions. A lift is called only when the confidence intervals separate — and the window waits as long as the kind of change needs, so an earned placement is not read on the timetable of a homepage edit.

Example

BRAND VISIBILITY · 12M

72%↑ 32 PT YoY

YOUR BRANDCOMPETITOR

JANFEBMARAPRMAYJUNJULAUGSEPOCTNOVDEC

05/REVENUE

See what AI assistants are actually worth.

A visibility score is not a business case. Recall identifies the sessions and conversions that arrive from AI assistants, records what they were worth, and reports them either side of a shipped change. Traffic from an assistant carries no keyword and often no referrer, so it lands in most analytics as direct — which is why the work that earns it is the easiest work in marketing to have cut.

Example

ATTRIBUTED TO AI ANSWERS · 90DMatched window either side of a shipped change

BeforeAfterDelta

AI SESSIONS1,2041,933+61%

CONVERSIONS3871+87%

REVENUE€4,180€7,910+89%

Assistant traffic carries no keyword — most analytics file it as direct

/ WHAT RUNS WITHOUT YOU

The problem is not the work. It is that nobody is watching.

None of this is work you were doing by hand and would like done faster. It is work nobody does, because doing it by hand is not realistic — so the failures below are normally discovered by accident, long after they started costing something.

Daily
The questions your buyers ask, put to every engine again
Answers drift. A shortlist you were on in March is assembled from different sources in September, and nothing announces the change.
Daily
Every page that cited you, fetched again and compared
The article that earned you a recommendation gets rewritten or deleted. The citation quietly stops supporting the claim, your visibility erodes, and the cause is invisible.
Every 6 hours
Shipped changes read against their locked baseline
Work gets called a success because the number moved, or abandoned because it did not move yet. Both happen when nobody is holding the before.
Hourly
A competitor appearing where you used to be named
You find out from a lost deal months later, at which point the sources that made the case for them are established.
Continuous
The measurement itself, checked for having stopped
A dashboard keeps rendering the last result. The numbers look plausible and nobody discovers the data stopped until they compare it to reality.

Each one reaches you only when it has something to say. A briefing that arrives every week reporting no change teaches you to filter it, and takes the urgent one with it.

/ PRICING

Start with a measured pilot. Expand when the evidence says so.

/ 00 — FREE

Find out if your site is even the problem.

Before you buy a measurement: we check whether the engines can reach your site, whether they can tell who you are, and whether there is enough there to retrieve. Three of the four reasons a brand goes unmentioned are answerable from your site alone — and if none of them applies, the problem is the sources the engines read instead, and no amount of on-site work will move it. Takes minutes, costs nothing, and we will tell you when the answer is that you do not need us yet.

Shortlist Pilot

Four weeks. One brand, one market, and an answer you can act on.

€1,000credited in full if you continue

Buyer-question workshop and approved scope
Multi-engine baseline across ChatGPT, Perplexity and Gemini
Competitor and citation evidence, with the stored answers behind it
Why you are missing each question, not just that you are
Ranked actions with paste-ready deliverables
Before-and-after measurement design and the first read

Managed Recall

Keep the shortlist, evidence, and action queue current.

Customongoing program

Everything in Shortlist Pilot
Scheduled prompt monitoring
Configurable engine coverage
New and dropped source alerts
Evidence-backed action queue
Implementation impact tracking

Portfolio & Partner

Monitor a fund, its portfolio, or multiple client brands.

Custom

Everything in Managed Recall
A separate isolated workspace per brand
Custom branding and domain
SSO and role controls
Pilot design and priority support
Roadmap: fund-level reporting across a portfolio

/ FAQ

Frequently Asked Questions

What is Recall?: Recall measures what AI answer engines say about a company. It runs real buyer questions through configured engines on a schedule, records who is recommended and which sources are cited, keeps the stored answer behind every figure, and turns what it finds into changes a team can ship and then measure. Where buyers shortlist with AI, that means share of answers. Where they do not, it means what the engines assert about you and how much of it has no source.
What is Answer Engine Optimization (AEO)?: Answer Engine Optimization (AEO) — also called Generative Engine Optimization (GEO) — is the practice of measuring and improving whether AI answer engines accurately recommend and cite your brand. Instead of ranking in a list of links, the goal is to earn a credible place in the answer and the shortlist.
Who is Recall for?: Recall is strongest where a buyer has nobody to ask. Referral beats search whenever someone can call a friend who has already made this choice, so AI research dominates for people new to a place, doing something for the first time, buying across a border, or working in a field that moves faster than anyone's experience of it. That covers venture funds and their portfolios, AI infrastructure, Web3, coworking, private schools and kindergartens. Procurement-led sectors such as defence and aerospace are served differently: nobody shortlists a supplier from an AI answer there, so the measurement is accuracy rather than position.
Which AI models does Recall track?: Recall supports configurable coverage for engines including ChatGPT, Google AI Overviews and AI Mode, Perplexity, Gemini, Claude, Copilot, Grok, Mistral, and DeepSeek. The engines available in a deployment depend on the providers and credentials you configure.
How is Recall delivered?: As a managed platform that we run. Each brand's data is isolated at the database level, every answer and citation exports in full whenever you ask, and the model coverage, spend limits, access controls, and operating support are agreed as part of the pilot. There is no self-hosted edition today.
Is Recall an SEO or content agency?: No. Recall is the measurement and decision layer: it shows who AI recommends, preserves the evidence, and ranks defensible actions. Your team or delivery partner can implement those actions, and Recall measures whether the answers changed afterward.

/ PILOT

Start with the shortlist that matters most.

Choose one brand, one market, and the buyer questions closest to revenue or deal flow. Establish the baseline, ship evidence-backed improvements, and expand only after the measurement proves useful.

Review the product

Managed pilots · portfolio rollouts available